Neural Networks and their approximation capabilities.

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Feedforward neural network learning in real time.

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2020-04-29 · Neural Additive Models (NAMs) which combine some of the expressivity of DNNs with the inherent intelligibility of generalized additive models.

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Data visualisation and prediction of the overall score of a player using various linear regression algorithms, ensembling algorithms, and a neural network.

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This article consist, about how to use Tenserflow callbacks. I've covered some really important Tensorflow callbacks guides.

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2019-06-18 · Starting from neural networks, I've tried to explain Back-Propagation Algorithim with an example.

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2018-08-17 · Building MLPs in Keras vs Numpy

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The project is a basic project where a sequential artificial neural network has been created to solve the famous Fashion MNIST dataset.

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Designing an Artificial Neural Network for Multi-class classification of MNIST data using NumPy.

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